关键词: 低秩矩阵分解, 扫描文档图像, 批量图像纠偏, Hough变换, Radon变换

Abstract: The most important of skew correction for scanned document image is to estimate the skew angle. Traditional methods are mostly based on its texture structure check, such as Hough transformation, Radon transformation and so on. However, it not only is affected easily by its special texture structure or other noise, but also costs much more time for each image. In this paper, a skew correction of batch scanned document images method is proposed based on low-rank matrix decomposition, which to seek an affine rotation transformation that can be used to implement the correction. As experiment illustrated, the method not only has high precision of image rectification, and the average time is less than the existing algorithms of image correction.

Key words: low-rank matrix decomposition, scanned document images, skew correction of batch images, Hough transformation, Radon transformation